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Exploring the world of fonts for discovering the most standard fonts and the missing fonts

机译:探索发现最标准字体和丢失字体的字体世界

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This paper has two contributions toward understanding the principles in font design. The first contribution of this paper is to discover the most standard font shape of each letter class by analyzing thousands of different fonts. For this analysis, two different methods are used. The first method is congealing for aligning multiple images based on a nonlinear geometric transformation model. The average of the aligned image is considered as a standard font shape. The second method is network analysis for representing font variations as a large-scale relative neighborhood graph (RNG) and then finding its center. The font corresponding to the center is considered as the standard font shape. Both of the standard font shapes given by the two methods are plain without decoration, serif, or slant, and thus give an objective reason why we consider the plain font as the typical font shape. The second contribution is to utilize the RNG and the pairwise congealing technique for discovering unexplored font designs and then generating totally new fonts automatically.
机译:本文对理解字体设计原则有两项贡献。本文的第一个贡献是通过分析数千个不同的字体来发现每个字母类的最标准字体形状。对于此分析,使用两种不同的方法。第一种方法是基于非线性几何变换模型对准多个图像的凝结。对准图像的平均值被认为是标准字体形状。第二种方法是用于表示字体变化的网络分析,作为大规模的相对邻域图(RNG),然后找到其中心。对应于中心的字体被认为是标准字体形状。两种方法给出的两个标准字体形状都是普通装饰,衬线或倾斜的普通,因此我们认为为典型字体形状考虑普通字体的客观原因。第二种贡献是利用RNG和成对凝聚技术来发现未探测的字体设计,然后自动生成完全新的字体。

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